Tag Archives: business intelligence

Modern Business Intelligence is the new era of BI and data analytics. It has a new BI workflow. But what is different? What makes it “modern”? Let’s start by reviewing the previous BI models. First generation BI was governed and server-based. It was mostly about reporting and had only basic analytics with limited dashboards. IT had to do all the reporting and the process was usually long and tedious. Then came the second generation, which was desktop-dependent. Its claim to fame was self-service BI and dashboards that anyone could use. At first, it seemed great, until clear problems appeared, such as data silos, security issues, and the compromise of IT requirements.

Modern BI is the next generation, combining the best of both previous generations. Having learned from mistakes, the industry realized that both self-service and governance were important. What makes Modern BI “modern” is the ability to solve the requirements of business users, who demand more self-service, automated data discovery and KPI monitoring—beyond the basic needs of dashboards and reports. And at the same time, solve the requirements of IT and BI teams, who need governance to maintain a single version of the truth, secured data access, and powerful analytics.

To take full advantage of Modern BI’s benefits, enterprises need to implement a modern BI workflow. Consequently, both IT and business shine in their execution according to their capabilities and roles. Success happens when all parties collaborate and share their knowledge in a secure environment. The modern BI workflow is made up of four components.

“Business Intelligence is a fundamental element of our competitive advantage. By providing our team with the necessary data, our strategy and planning processes are now more ‘intelligent’ than ever. With excellent visibility of our sales and product performance, we are now better placed to offer enhanced services to our customers and yet improve our financials.” John Jaccarini, Director, Prohealth.

There is a myth in Business Intelligence. The perception when we speak about Centralized BI is that IT will be a bottleneck in the process. Perhaps we can do a small recap of BI history to understand the reasoning behind this myth.

Following our annual tradition, we present to you Panorama’s top Business Intelligence Trends and Predictions for 2017. Tomer Paz, our Product Manager and BI Expert, put together the top 10 predictions that businesses should be aware of. You can see them in this clear infographic that will guide you through each one of the major trends that will take place this year.

Self-service BI is a hot topic as the year is coming to an end. It is a major trend that will continue in 2017. Some CIOs think it is a scary scenario, while other CIOs fully embrace it. Why do we see such duality? It can be attributed to two main models in Business Intelligence: federated and centralized.

This year’s Intel Capital Global Summit was a great success. Inspirational industry thought leaders gathered together to talk about their businesses, future technologies, and innovation. Eynav Azarya, CEO of Panorama Software, said it was a pleasure to be there. He mainly talked about data insights.

Federated BI failed. It forced users to work in silos and created a data mess. And now, Centralized BI is rising. Most organizations are moving to a centralized model of Business Intelligence.You might be wondering why is federated so messy and why is centralized so good? Check out this clear infographic about the differences between the two biggest models of BI.

With the exponential growth of data, there is a new concern in the data analytics and Business Intelligence world: how to achieve the best data visualization. We need to present data in a way that can communicate insights to decision-makers and benefit any employee. The trend is to create more digestible and user-friendly dashboards and reports.

Data analytics in the retail industry is not something new. Retailers have been tapping into data for years now, gaining what is called consumer or shopper insights to improve their performance. They have access to loads of data that comes from multiple data sources: purchase transactions, CRM data, customer loyalty programs, etc.

Now, in the age of the consumer, achieving customer satisfaction and engagement is more challenging than ever. This is an era where consumers are super informed. They want to know everything, and in real-time. They expect companies to provide solutions immediately. That’s why smart data discovery and BI tools are being used by retailers to get a much better understanding of customer behavior and preferences. In this new consumer era, smart data analytics is no longer a plus, it’s a must-have.

To justify why it’s a must-have, we’ve put together a list of 10 very cool things retailers can do with BI.Continue reading →

20/20 vision—in 2020 we will know a world where we can actually see everything. The first big change I’ll go for is IOT. With the Internet of Things generating tons of real-time data, we will know what everyone does, when and how. Around 30 billion objects are expected to be connected to the IOT by 2020.